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Departmental affiliations of groups which increased and decreased their HPC usage as measured by CPU hours.

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Author(s): Jaroslav Zak; Ian Newman; Daniel J. Montiel Garcia; Daniele Parisi; Janet Joy; Steven R. Head; Jean-Christophe Ducom; Padmaja Natarajan; Haissi Cui; Sabah Ul-Hasan
Subject Terms:
Cancer; Science Policy; Biological Sciences not elsewhere classified; Information Systems not elsewhere classified; within 10 years; traditional institutional resources; provided continuing education; +biology%22">xlink "> biology; tailored computational analyses; group &# 8217; biomedical research workforce; computational biology educational; members &# 8217; led affinity group; cbb &# 8217; computational biology; affinity group; research events; adaptive group; viable complement; total number; sequencing increased; rich approaches; resolution imaging; rapid development; networking opportunities; inherent limitations; impact confirmed; explore developments; evolving along
Document Type:
article in journal/newspaper
Language:
unknown

Additional Information
- Publication Date:
  2025
- Collection:
  Bath Spa University: Figshare
- Abstract:
  ISCB, Integrative Structural and Computational Biology; MM, Molecular Medicine. (PDF)
- Relation:
  https://figshare.com/articles/journal_contribution/Departmental_affiliations_of_groups_which_increased_and_decreased_their_HPC_usage_as_measured_by_CPU_hours_/30098629
- Accession Number:
  10.1371/journal.pcbi.1013453.s005
- Online Access:
  https://doi.org/10.1371/journal.pcbi.1013453.s005
  https://figshare.com/articles/journal_contribution/Departmental_affiliations_of_groups_which_increased_and_decreased_their_HPC_usage_as_measured_by_CPU_hours_/30098629
- Rights:
  CC BY 4.0
- Accession Number:
  edsbas.209342D8

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